public class TargetEncoderModel extends hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>
| Modifier and Type | Class and Description |
|---|---|
static class |
TargetEncoderModel.TargetEncoderOutput |
static class |
TargetEncoderModel.TargetEncoderParameters |
hex.Model.BigScore, hex.Model.BigScoreChunkPredict, hex.Model.BigScorePredict, hex.Model.Contributions, hex.Model.DeepFeatures, hex.Model.ExemplarMembers, hex.Model.FeatureFrequencies, hex.Model.GetMostImportantFeatures, hex.Model.GetNTrees, hex.Model.GLRMArchetypes, hex.Model.GridSortBy, hex.Model.InteractionBuilder, hex.Model.InteractionPair, hex.Model.InteractionSpec, hex.Model.JavaModelStreamWriter, hex.Model.LeafNodeAssignment, hex.Model.Output, hex.Model.Parameters, hex.Model.StagedPredictions| Modifier and Type | Field and Description |
|---|---|
protected static java.lang.String |
ALGO_NAME |
| Constructor and Description |
|---|
TargetEncoderModel(water.Key<TargetEncoderModel> selfKey,
TargetEncoderModel.TargetEncoderParameters parms,
TargetEncoderModel.TargetEncoderOutput output,
TargetEncoder tec) |
| Modifier and Type | Method and Description |
|---|---|
TargetEncoderMojoWriter |
getMojo() |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected water.Futures |
remove_impl(water.Futures fs,
boolean cascade) |
water.fvec.Frame |
score(water.fvec.Frame fr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc) |
protected double[] |
score0(double[] data,
double[] preds) |
water.fvec.Frame |
transform(water.fvec.Frame data,
byte strategy,
boolean useBlending,
BlendingParams blendingParams,
long seed)
Transform with default noise of 0.01
|
water.fvec.Frame |
transform(water.fvec.Frame data,
byte strategy,
double noiseLevel,
boolean useBlending,
BlendingParams blendingParams,
long seed)
Transform with noise
|
adaptTestForTrain, adaptTestForTrain, addMetrics, addModelMetrics, addWarning, auc, AUCPR, checksum_impl, classification_error, compareTo, computeDeviances, containsResponse, data, defaultThreshold, defaultThreshold, deleteCrossValidationFoldAssignment, deleteCrossValidationModels, deleteCrossValidationPreds, deviance, deviance, exportBinaryModel, exportMojo, fetchAll, fillScoringInfo, getDefaultGridSortBy, getFeaturesUsedInPrediction, getGenModelEncoding, getPojoInterfaces, getToEigenVec, haveMojo, havePojo, importBinaryModel, isFeatureUsedInPredict, isFeatureUsedInPredict, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeBigScoreTask, makeInteraction, makeInteractions, makeInteractions, makeSchema, makeScoringDomains, makeScoringNames, makeScoringNames, mean_per_class_error, modelDescriptor, mse, needsPostProcess, postProcessPredictions, predictScoreImpl, r2, readAll_impl, resetThreshold, rmsle, score, score, score, score, score, score, score0, score0, score0, score0PostProcessSupervised, scoreMetrics, scoring_history, scoringDomains, setupBigScorePredict, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toJavaTransform, toMojo, toString, uploadBinaryModel, writeAll_impl, writeTodelete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock_to_read_lock, write_lock, write_lock, write_lockchecksum, readAll, remove_impl, remove, remove, remove, remove, remove, remove, writeAllprotected static final java.lang.String ALGO_NAME
public TargetEncoderModel(water.Key<TargetEncoderModel> selfKey, TargetEncoderModel.TargetEncoderParameters parms, TargetEncoderModel.TargetEncoderOutput output, TargetEncoder tec)
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>public water.fvec.Frame transform(water.fvec.Frame data,
byte strategy,
double noiseLevel,
boolean useBlending,
BlendingParams blendingParams,
long seed)
data - Data to transformstrategy - A byte value corresponding to TargetEncoder.DataLeakageHandlingStrategynoiseLevel - Level of noise applieduseBlending - If false, blending is not used when the TE map is applied.If true, blending with corresponding blending parameters are used.blendingParams - Parameters for blending. If null, blending parameters from models parameters are loaded.
If those are not set, DEFAULT_BLENDING_PARAMS from TargetEncoder class are used.seed - Frame with transformed data, registered in DKV.public water.fvec.Frame transform(water.fvec.Frame data,
byte strategy,
boolean useBlending,
BlendingParams blendingParams,
long seed)
data - Data to transformstrategy - A byte value corresponding to TargetEncoder.DataLeakageHandlingStrategyuseBlending - If false, blending is not used when the TE map is applied.If true, blending with corresponding blending parameters are used.blendingParams - Parameters for blending. If null, blending parameters from models parameters are loaded.
If those are not set, DEFAULT_BLENDING_PARAMS from TargetEncoder class are used.seed - Frame with transformed data, registered in DKV.protected double[] score0(double[] data,
double[] preds)
score0 in class hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>public water.fvec.Frame score(water.fvec.Frame fr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc)
throws java.lang.IllegalArgumentException
score in class hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>java.lang.IllegalArgumentExceptionpublic TargetEncoderMojoWriter getMojo()
getMojo in class hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>protected water.Futures remove_impl(water.Futures fs,
boolean cascade)
remove_impl in class hex.Model<TargetEncoderModel,TargetEncoderModel.TargetEncoderParameters,TargetEncoderModel.TargetEncoderOutput>